1 to 25 of 40 Apache Hive Jobs in London

and well-tested solutions to automate data ingestion, transformation, and orchestration across systems. Own data operations infrastructure: Manage and optimise key data infrastructure components within AWS, including Amazon Redshift, Apache Airflow for workflow orchestration and other analytical tools. You will be responsible for ensuring the performance, reliability, and scalability of these systems to meet the growing demands of data … pipelines , data warehouses , and leveraging AWS data services . Strong proficiency in DataOps methodologies and tools, including experience with CI/CD pipelines, containerized applications , and workflow orchestration using Apache Airflow . Familiar with ETL frameworks, and bonus experience with Big Data processing (Spark, Hive, Trino), and data streaming. Proven track record - You've made a demonstrable impact More ❯

Azure SQL Database, HDInsight, and Azure Machine Learning Studio. Data Storage & Databases: SQL & NoSQL Databases: Experience with databases like PostgreSQL, MySQL, MongoDB, and Cassandra. Big Data Ecosystems: Hadoop, Spark, Hive, and HBase. Data Integration & ETL: Data Pipelining Tools: Apache NiFi, Apache Kafka, and Apache Flink. ETL Tools: AWS Glue, Azure Data Factory, Talend, and Apache More ❯

years of experience working on mission critical data pipelines and ETL systems. 5+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Expertise with common Software Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such … certification/s Strong data visualizations skills to convey information and results clearly Experience with DevOps tools such as Docker, Kubernetes, Jenkins, etc. Experience with event messaging frameworks like Apache Kafka The hiring range for this position in Santa Monica, California is $136,038 to $182,490 per year, in Glendale, California is $136,038 to $182,490 per More ❯

foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data types and sources. Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL and NoSQL). Graph Database Expertise : Deep understanding of graph database concepts, data modeling, and query languages (e.g., Cypher). Demonstrate hands-on More ❯

tools to automate profit-and-loss forecasting and planning for the Physical Consumer business. We are building the next generation Business Intelligence solutions using big data technologies such as Apache Spark, Hive/Hadoop, and distributed query engines. As a Data Engineer in Amazon, you will be working in a large, extremely complex and dynamic data environment. You More ❯

proficiency in Python for data processing and automation Deep knowledge of ETL/ELT frameworks and best practices Hands-on experience with Big Data tools (e.g. Hadoop, Spark, Kafka, Hive) Familiarity with cloud data platforms (e.g. AWS, Azure, GCP) Strong understanding of data architecture, pipelines, warehousing, and performance tuning Excellent communication and stakeholder engagement skills Desirables: Experience in the More ❯

S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience building large-scale, high-throughput, 24x7 data systems - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience providing technical leadership and mentoring other engineers for best practices on data engineering Our inclusive culture empowers Amazonians to deliver the best results for our customers. More ❯

SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

your team or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience hiring, developing and promoting engineering talent - Experience communicating to senior management and customers verbally and in writing PREFERRED QUALIFICATIONS - Experience with AWS Tools and Technologies (Redshift More ❯

Sales acumen, identifying and managing sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An understanding of cloud technologies e.g. AWS, GCP or Azure A track More ❯

Sales acumen, identifying and managing sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An understanding of cloud technologies e.g. AWS, GCP or Azure A track More ❯

analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those More ❯

analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those More ❯

Sales acumen, identifying and managing sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An understanding of cloud technologies e.g. AWS, GCP or Azure A track More ❯

analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those More ❯

Associate Director, Data Science and Innovation Are you a data science leader passionate about leveraging AI and machine learning to drive innovation in financial markets and transaction banking? Standard Chartered Bank is on an ambitious journey to embed cutting-edge More ❯

SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. - Knowledge of cloud services such as AWS or equivalent Our inclusive culture empowers Amazonians to More ❯

We're excited if you have 4+ years of relevant work experience in Analytics, Business Intelligence, or Technical Operations Master in SQL, Python, and ETL using big data tools (HIVE/Presto, Redshift) Previous experience with web frameworks for Python such as Django/Flask is a plus Experience writing data pipelines using Airflow Fluency in Looker and/ More ❯

Python (preferred) and C++ Experience working with structured and unstructured data (e.g., text, PDFs, images, call recordings, video) Proficiency in database and big data technologies including SQL, NoSQL, PySpark, Hive, etc. Cloud & AI Ecosystems Experience working with cloud platforms such as AWS, GCP, or Azure Understanding of API integration and deploying solutions in cloud environments Familiarity or hands-on More ❯

permissions - Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the More ❯

SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working with data engineers and business intelligence engineers collaboratively - Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS - Experience as a leader and mentor on a More ❯

Business Research Analyst - II, RBS Returns Reduction As a Research Analyst, you'll collaborate with experts to develop ML models leveraging big data solutions and Large Language Models (LLMs) for business needs. You'll drive product pilots, demonstrating innovative thinking More ❯

Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Job Description- Spark - Must have Scala - Must Have Hive/SQL - Must Have Job Description : Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem … HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies , real time data processing platform(Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability to multi-task and work under pressure • Demonstrated problem solving and decision-making skills • Excellent analytical and process-based skills More ❯

Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Job Description- Spark - Must have Scala - Must Have Hive/SQL - Must Have Job Description : Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem … HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies , real time data processing platform(Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability to multi-task and work under pressure • Demonstrated problem solving and decision-making skills • Excellent analytical and process-based skills More ❯